{"id":"W7131238978","doi":"10.25549/wpacards-c8-151242","title":"WPA household census for 6431 CHANSLOR AVE, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; American Community Survey; Administration (probate law); Value (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006587501,0.001215085,0.001046668,0.003053452,0.0005747346,0.001888227,0.00133932,0.0005286424,0.07588546],"category_scores_gemma":[0.004175212,0.0005753422,0.0005308216,0.008365871,0.0001833028,0.001220544,0.0009337456,0.001440405,0.08944261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812609,"about_ca_system_score_gemma":0.003521732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1287897,"about_ca_topic_score_gemma":0.1451468,"domain_scores_codex":[0.99923,0.00009908422,0.0001013263,0.0002260738,0.0002524359,0.00009099687],"domain_scores_gemma":[0.9976666,0.000268419,0.0002331709,0.0002493803,0.001422493,0.0001598456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006835268,0.000005403915,0.0007546582,0.00009286868,0.000006764015,0.000006210656,0.0000100147,0.00004509045,0.000006951667,0.0002044753,0.997353,0.001507778],"study_design_scores_gemma":[0.00006582452,0.000006679472,0.01445592,0.0002950143,0.00001878793,0.0000281307,0.0001583766,0.0002272511,0.00006504008,0.0004847349,0.9841782,0.00001602489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001240285,0.00005278134,0.00004410677,0.0000510766,0.00001455027,0.000008007773,0.9984859,0.00004785334,0.001171668],"genre_scores_gemma":[0.0005572748,0.0001329285,0.0001430219,0.0000379473,0.00001133637,0.00009325547,0.996314,0.00003531095,0.002675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287897,"threshold_uncertainty_score":0.2560801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555668851533235,"score_gpt":0.1752948315870243,"score_spread":0.159738143071692,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}